1 files changed, 0 insertions, 182 deletions
diff --git a/src/third_party/boost-1.56.0/boost/random/exponential_distribution.hpp b/src/third_party/boost-1.56.0/boost/random/exponential_distribution.hpp
deleted file mode 100644
index 53eaa93865a..00000000000
--- a/src/third_party/boost-1.56.0/boost/random/exponential_distribution.hpp
+++ /dev/null
@@ -1,182 +0,0 @@
-/* boost random/exponential_distribution.hpp header file
- *
- * Copyright Jens Maurer 2000-2001
- * Copyright Steven Watanabe 2011
- * Distributed under the Boost Software License, Version 1.0. (See
- * accompanying file LICENSE_1_0.txt or copy at
- * http://www.boost.org/LICENSE_1_0.txt)
- *
- * See http://www.boost.org for most recent version including documentation.
- *
- * $Id$
- *
- * Revision history
- *  2001-02-18  moved to individual header files
- */
-
-#ifndef BOOST_RANDOM_EXPONENTIAL_DISTRIBUTION_HPP
-#define BOOST_RANDOM_EXPONENTIAL_DISTRIBUTION_HPP
-
-#include <boost/config/no_tr1/cmath.hpp>
-#include <iosfwd>
-#include <boost/assert.hpp>
-#include <boost/limits.hpp>
-#include <boost/random/detail/config.hpp>
-#include <boost/random/detail/operators.hpp>
-#include <boost/random/uniform_01.hpp>
-
-namespace boost {
-namespace random {
-
-/**
- * The exponential distribution is a model of \random_distribution with
- * a single parameter lambda.
- *
- * It has \f$\displaystyle p(x) = \lambda e^{-\lambda x}\f$
- */
-template<class RealType = double>
-class exponential_distribution
-{
-public:
-    typedef RealType input_type;
-    typedef RealType result_type;
-
-    class param_type
-    {
-    public:
-
-        typedef exponential_distribution distribution_type;
-
-        /**
-         * Constructs parameters with a given lambda.
-         *
-         * Requires: lambda > 0
-         */
-        param_type(RealType lambda_arg = RealType(1.0))
-          : _lambda(lambda_arg) { BOOST_ASSERT(_lambda > RealType(0)); }
-
-        /** Returns the lambda parameter of the distribution. */
-        RealType lambda() const { return _lambda; }
-
-        /** Writes the parameters to a @c std::ostream. */
-        BOOST_RANDOM_DETAIL_OSTREAM_OPERATOR(os, param_type, parm)
-        {
-            os << parm._lambda;
-            return os;
-        }
-        
-        /** Reads the parameters from a @c std::istream. */
-        BOOST_RANDOM_DETAIL_ISTREAM_OPERATOR(is, param_type, parm)
-        {
-            is >> parm._lambda;
-            return is;
-        }
-
-        /** Returns true if the two sets of parameters are equal. */
-        BOOST_RANDOM_DETAIL_EQUALITY_OPERATOR(param_type, lhs, rhs)
-        { return lhs._lambda == rhs._lambda; }
-
-        /** Returns true if the two sets of parameters are different. */
-        BOOST_RANDOM_DETAIL_INEQUALITY_OPERATOR(param_type)
-
-    private:
-        RealType _lambda;
-    };
-
-    /**
-     * Constructs an exponential_distribution with a given lambda.
-     *
-     * Requires: lambda > 0
-     */
-    explicit exponential_distribution(RealType lambda_arg = RealType(1.0))
-      : _lambda(lambda_arg) { BOOST_ASSERT(_lambda > RealType(0)); }
-
-    /**
-     * Constructs an exponential_distribution from its parameters
-     */
-    explicit exponential_distribution(const param_type& parm)
-      : _lambda(parm.lambda()) {}
-
-    // compiler-generated copy ctor and assignment operator are fine
-
-    /** Returns the lambda parameter of the distribution. */
-    RealType lambda() const { return _lambda; }
-
-    /** Returns the smallest value that the distribution can produce. */
-    RealType min BOOST_PREVENT_MACRO_SUBSTITUTION () const
-    { return RealType(0); }
-    /** Returns the largest value that the distribution can produce. */
-    RealType max BOOST_PREVENT_MACRO_SUBSTITUTION () const
-    { return (std::numeric_limits<RealType>::infinity)(); }
-
-    /** Returns the parameters of the distribution. */
-    param_type param() const { return param_type(_lambda); }
-    /** Sets the parameters of the distribution. */
-    void param(const param_type& parm) { _lambda = parm.lambda(); }
-
-    /**
-     * Effects: Subsequent uses of the distribution do not depend
-     * on values produced by any engine prior to invoking reset.
-     */
-    void reset() { }
-
-    /**
-     * Returns a random variate distributed according to the
-     * exponential distribution.
-     */
-    template<class Engine>
-    result_type operator()(Engine& eng) const
-    { 
-        using std::log;
-        return -result_type(1) /
-            _lambda * log(result_type(1)-uniform_01<RealType>()(eng));
-    }
-
-    /**
-     * Returns a random variate distributed according to the exponential
-     * distribution with parameters specified by param.
-     */
-    template<class Engine>
-    result_type operator()(Engine& eng, const param_type& parm) const
-    { 
-        return exponential_distribution(parm)(eng);
-    }
-
-    /** Writes the distribution to a std::ostream. */
-    BOOST_RANDOM_DETAIL_OSTREAM_OPERATOR(os, exponential_distribution, ed)
-    {
-        os << ed._lambda;
-        return os;
-    }
-
-    /** Reads the distribution from a std::istream. */
-    BOOST_RANDOM_DETAIL_ISTREAM_OPERATOR(is, exponential_distribution, ed)
-    {
-        is >> ed._lambda;
-        return is;
-    }
-
-    /**
-     * Returns true iff the two distributions will produce identical
-     * sequences of values given equal generators.
-     */
-    BOOST_RANDOM_DETAIL_EQUALITY_OPERATOR(exponential_distribution, lhs, rhs)
-    { return lhs._lambda == rhs._lambda; }
-    
-    /**
-     * Returns true iff the two distributions will produce different
-     * sequences of values given equal generators.
-     */
-    BOOST_RANDOM_DETAIL_INEQUALITY_OPERATOR(exponential_distribution)
-
-private:
-    result_type _lambda;
-};
-
-} // namespace random
-
-using random::exponential_distribution;
-
-} // namespace boost
-
-#endif // BOOST_RANDOM_EXPONENTIAL_DISTRIBUTION_HPP